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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

13 August 2016
K. Zhang
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
    SupR
ArXivPDFHTML

Papers citing "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

50 / 1,687 papers shown
Title
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
54
214
0
06 Jun 2018
Training deep learning based image denoisers from undersampled
  measurements without ground truth and without image prior
Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior
Magauiya Zhussip
Shakarim Soltanayev
S. Chun
11
57
0
04 Jun 2018
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual
  Convolutional Neural Network
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network
Qiangqiang Yuan
Qiang Zhang
Jie Li
Huanfeng Shen
Liangpei Zhang
29
370
0
01 Jun 2018
Light Field Denoising via Anisotropic Parallax Analysis in a CNN
  Framework
Light Field Denoising via Anisotropic Parallax Analysis in a CNN Framework
Jie Chen
Junhui Hou
Lap-Pui Chau
4
47
0
31 May 2018
BlockCNN: A Deep Network for Artifact Removal and Image Compression
BlockCNN: A Deep Network for Artifact Removal and Image Compression
Danial Maleki
Soheila Nadalian
Mohammad Mahdi Derakhshani
M. Sadeghi
19
28
0
28 May 2018
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of
  JPEG-Compressed Images
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images
Honggang Chen
Xiaohai He
L. Qing
Shuhua Xiong
Truong Thao Nguyen
26
47
0
27 May 2018
Unsupervised Learning with Stein's Unbiased Risk Estimator
Unsupervised Learning with Stein's Unbiased Risk Estimator
Christopher A. Metzler
Ali Mousavi
Reinhard Heckel
Richard G. Baraniuk
OOD
15
103
0
26 May 2018
Rate-Optimal Denoising with Deep Neural Networks
Rate-Optimal Denoising with Deep Neural Networks
Reinhard Heckel
Wen Huang
Paul Hand
V. Voroninski
15
23
0
22 May 2018
Variational based Mixed Noise Removal with CNN Deep Learning
  Regularization
Variational based Mixed Noise Removal with CNN Deep Learning Regularization
Faqiang Wang
Haiyang Huang
Jun Liu
9
35
0
21 May 2018
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control
  Method for Image Restoration
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration
Xiaoshuai Zhang
Yiping Lu
Jiaying Liu
Bin Dong
16
51
0
20 May 2018
Multi-level Wavelet-CNN for Image Restoration
Multi-level Wavelet-CNN for Image Restoration
Pengju Liu
Hongzhi Zhang
K. Zhang
Liang Lin
W. Zuo
SupR
20
641
0
18 May 2018
Lightweight Pyramid Networks for Image Deraining
Lightweight Pyramid Networks for Image Deraining
Xueyang Fu
Borong Liang
Yue Huang
Xinghao Ding
John Paisley
11
322
0
16 May 2018
k-Space Deep Learning for Accelerated MRI
k-Space Deep Learning for Accelerated MRI
Yoseob Han
Leonard Sunwoo
J. C. Ye
16
188
0
10 May 2018
New Techniques for Preserving Global Structure and Denoising with Low
  Information Loss in Single-Image Super-Resolution
New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution
Yijie Bei
Alexandru Damian
Shijia Hu
Sachit Menon
Nikhila Ravi
Cynthia Rudin
SupR
23
21
0
09 May 2018
Moiré Photo Restoration Using Multiresolution Convolutional Neural
  Networks
Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks
Yujing Sun
Yizhou Yu
Wenping Wang
31
117
0
08 May 2018
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
175
1,165
0
04 May 2018
Perceptually Optimized Generative Adversarial Network for Single Image
  Dehazing
Perceptually Optimized Generative Adversarial Network for Single Image Dehazing
Yixin Du
X. Li
32
6
0
03 May 2018
Deep learning approach to Fourier ptychographic microscopy
Deep learning approach to Fourier ptychographic microscopy
Thanh Nguyen
Yujia Xue
Yunzhe Li
Lei Tian
G. Nehmetallah
11
28
0
27 Apr 2018
Generative Model for Heterogeneous Inference
Generative Model for Heterogeneous Inference
Honggang Zhou
Yunchun Li
Hailong Yang
Wei Li
Jie Jia
BDL
19
0
0
26 Apr 2018
Robust Video Content Alignment and Compensation for Clear Vision Through
  the Rain
Robust Video Content Alignment and Compensation for Clear Vision Through the Rain
Jie Chen
Cheen-Hau Tan
Junhui Hou
Lap-Pui Chau
He Li
20
6
0
24 Apr 2018
Residual-Guide Feature Fusion Network for Single Image Deraining
Residual-Guide Feature Fusion Network for Single Image Deraining
Zhiwen Fan
Huafeng Wu
Xueyang Fu
Yue Huang
Xinghao Ding
16
137
0
20 Apr 2018
Learning Warped Guidance for Blind Face Restoration
Learning Warped Guidance for Blind Face Restoration
Xiaoming Li
Ming-Yu Liu
Yuting Ye
W. Zuo
Liang Lin
Ruigang Yang
CVBM
3DH
9
140
0
13 Apr 2018
Simultaneous Fidelity and Regularization Learning for Image Restoration
Simultaneous Fidelity and Regularization Learning for Image Restoration
Dongwei Ren
W. Zuo
David C. Zhang
Lei Zhang
Ming-Hsuan Yang
8
75
0
12 Apr 2018
Demoiréing of Camera-Captured Screen Images Using Deep Convolutional
  Neural Network
Demoiréing of Camera-Captured Screen Images Using Deep Convolutional Neural Network
Bolin Liu
X. Shu
Xiaolin Wu
8
32
0
11 Apr 2018
Crafting a Toolchain for Image Restoration by Deep Reinforcement
  Learning
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
K. Yu
Chao Dong
Liang Lin
Chen Change Loy
CLL
OffRL
19
174
0
10 Apr 2018
Recovering Realistic Texture in Image Super-resolution by Deep Spatial
  Feature Transform
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
Xintao Wang
K. Yu
Chao Dong
Chen Change Loy
SupR
21
967
0
09 Apr 2018
DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin
  Labeled MRI via Deep Residual Learning
DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning
Cagdas Ulas
Giles Tetteh
S. Kaczmarz
C. Preibisch
Bjoern H. Menze
13
26
0
08 Apr 2018
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep
  CNN with Forward Physical Model Loss
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss
Cagdas Ulas
Giles Tetteh
M. Thrippleton
Paul A. Armitage
S. Makin
Joanna M. Wardlaw
Mike E. Davies
Bjoern H. Menze
MedIm
11
22
0
08 Apr 2018
Fast Single Image Rain Removal via a Deep Decomposition-Composition
  Network
Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
Siyuan LI
Wenqi Ren
Jiawan Zhang
Jinke Yu
Xiaojie Guo
12
85
0
08 Apr 2018
Real-world Noisy Image Denoising: A New Benchmark
Real-world Noisy Image Denoising: A New Benchmark
Jun Xu
Hui Li
Zhetong Liang
David C. Zhang
Lei Zhang
19
201
0
07 Apr 2018
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging
  Problems
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Franziska Schirrmacher
Thomas Köhler
Christian Riess
14
5
0
06 Apr 2018
Deep Residual Learning for Accelerated MRI using Magnitude and Phase
  Networks
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks
Dongwook Lee
Jaejun Yoo
S. Tak
J. C. Ye
OOD
20
296
0
02 Apr 2018
One-Two-One Networks for Compression Artifacts Reduction in Remote
  Sensing
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing
Baochang Zhang
Jiaxin Gu
Chen Chen
J. Han
Xiangbo Su
Xianbin Cao
Jianzhuang Liu
17
51
0
01 Apr 2018
Adversarial Attacks and Defences Competition
Adversarial Attacks and Defences Competition
Alexey Kurakin
Ian Goodfellow
Samy Bengio
Yinpeng Dong
Fangzhou Liao
...
Junjiajia Long
Yerkebulan Berdibekov
Takuya Akiba
Seiya Tokui
Motoki Abe
AAML
SILM
9
318
0
31 Mar 2018
Robust Video Content Alignment and Compensation for Rain Removal in a
  CNN Framework
Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework
Jie Chen
Cheen-Hau Tan
Junhui Hou
Lap-Pui Chau
He Li
43
154
0
28 Mar 2018
Multi-scale Processing of Noisy Images using Edge Preservation Losses
Multi-scale Processing of Noisy Images using Edge Preservation Losses
Nati Ofir
Y. Keller
14
7
0
26 Mar 2018
A Deep Error Correction Network for Compressed Sensing MRI
A Deep Error Correction Network for Compressed Sensing MRI
Liyan Sun
Zhiwen Fan
Yue Huang
Xinghao Ding
John Paisley
MedIm
23
12
0
23 Mar 2018
Lifting Layers: Analysis and Applications
Lifting Layers: Analysis and Applications
Peter Ochs
Tim Meinhardt
Laura Leal-Taixe
Michael Möller
8
7
0
23 Mar 2018
Group Sparsity Residual with Non-Local Samples for Image Denoising
Group Sparsity Residual with Non-Local Samples for Image Denoising
Zhiyuan Zha
Xinggan Zhang
Qiong Wang
Yechao Bai
Lan Tang
Xin Yuan
11
13
0
22 Mar 2018
Patch-Based Image Inpainting with Generative Adversarial Networks
Patch-Based Image Inpainting with Generative Adversarial Networks
Ugur Demir
Gözde B. Ünal
GAN
11
253
0
20 Mar 2018
Deep Image Demosaicking using a Cascade of Convolutional Residual
  Denoising Networks
Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks
Filippos Kokkinos
Stamatios Lefkimmiatis
SupR
13
126
0
14 Mar 2018
Multi-Frame Quality Enhancement for Compressed Video
Multi-Frame Quality Enhancement for Compressed Video
Ren Yang
Mai Xu
Zulin Wang
Tianyi Li
11
204
0
13 Mar 2018
Correction by Projection: Denoising Images with Generative Adversarial
  Networks
Correction by Projection: Denoising Images with Generative Adversarial Networks
Subarna Tripathi
Zachary Chase Lipton
Truong Thao Nguyen
14
53
0
12 Mar 2018
Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising
Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising
Cristóvão Cruz
A. Foi
V. Katkovnik
K. Egiazarian
8
100
0
06 Mar 2018
Training Deep Learning Based Denoisers without Ground Truth Data
Training Deep Learning Based Denoisers without Ground Truth Data
Shakarim Soltanayev
S. Chun
8
122
0
04 Mar 2018
Exploiting the Potential of Standard Convolutional Autoencoders for
  Image Restoration by Evolutionary Search
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
Masanori Suganuma
Mete Ozay
Takayuki Okatani
15
87
0
01 Mar 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler
Philip Schniter
Ashok Veeraraghavan
Richard G. Baraniuk
OOD
31
168
0
01 Mar 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse
  Coding
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding
Dong Liu
Ke Sun
Zhangyang Wang
Runsheng Liu
Zhengjun Zha
20
12
0
28 Feb 2018
A Mathematical Framework for Deep Learning in Elastic Source Imaging
A Mathematical Framework for Deep Learning in Elastic Source Imaging
J. Yoo
Abdul Wahab
J. C. Ye
6
8
0
27 Feb 2018
Generating High Quality Visible Images from SAR Images Using CNNs
Generating High Quality Visible Images from SAR Images Using CNNs
Puyang Wang
Vishal M. Patel
GAN
17
62
0
27 Feb 2018
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